@h100envy: Prime Intellect engineers explained how they train reasoning models over the open internet in 30 minutes - better than …

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Summary

Prime Intellect engineers demonstrated a method to train reasoning models in 30 minutes using distributed RL over the open internet, utilizing Prime-RL, LLM judges, and multi-cloud GPUs, enabling open models to compete with closed labs without owning data centers.

Prime Intellect engineers explained how they train reasoning models over the open internet in 30 minutes - better than $3000 distributed training courses. split policy and rollouts across nodes -> run agents in parallel envs -> verify with LLM judges -> gradient-sync over the internet -> train Llama, Qwen, Gemma at cluster scale on rented GPUs. That loop is why open reasoning models are catching closed labs without owning a data center. Prime-RL + verifiers + distributed rollouts + LLM judges + multi-cloud GPUs - that's the stack. Watch and save it, then launch your first distributed RL run this week.
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Cached at: 07/12/26, 04:58 PM

Prime Intellect engineers explained how they train reasoning models over the open internet in 30 minutes - better than $3000 distributed training courses.

split policy and rollouts across nodes -> run agents in parallel envs -> verify with LLM judges -> gradient-sync over the internet -> train Llama, Qwen, Gemma at cluster scale on rented GPUs.

That loop is why open reasoning models are catching closed labs without owning a data center.

Prime-RL + verifiers + distributed rollouts + LLM judges + multi-cloud GPUs - that’s the stack.

Watch and save it, then launch your first distributed RL run this week.

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